[1] 复杂系统的智能控制（大数据模型，深度强化学习理论等）

主要应用：考虑复杂工业系统中难建模、长时滞等问题，基于历史数据信息引入大数据模型，结合深度强化学习理论构建最优控制策略。

[2] 多机器人/物流车的多任务最优分配策略研究（深度强化学习理论等）

主要应用：自动化仓储系统的任务分配与调度等，考虑多任务的动态新增与取消、电池充电里程约束与自充电规划、全局多路径选择等。另外，在JG作战场景下，基于知识库构建，实现已有专家经验与未知场景识别结合的快速反应策略。

[3] 多机器人的协同搬运与协同感知研究（图论，非线性系统理论，地面力学理论等）

主要应用：多机器人协同搬运，使用多个带有机械臂的移动平台，协同搬运物体，实现复杂场景下的物体搬运与姿态精准控制；多月球车的月面联合巡视探测与松软月壤信息联合感知等，分布式感知并构建未知区域内的月壤分布规律。

[4] 无人驾驶车辆的智能驾驶控制与感知研究（非线性系统理论等）

主要应用：针对无人驾驶车辆/AGV的智能导航与控制任务，实施SLAM、RTK、IMU等传感器的信息融合，进一步实现复杂条件下的轨迹跟踪控制等。

场景1：多车/车联网-跟驰控制

场景2：多机器人编队控制——视野约束

1. 代表性学术论文Top-10（本人第一作者）

[1] Zhongchao Liang, et al. Leader-steered rigid formation control with visibility maintenance for multiple nonholonomic mobile robots. IEEE Transactions on Cybernetics, 2026, 56(3): 1747-1760.

[2] Zhongchao Liang, et al. Rigid geometry formation subject to visibility constraints using heading angle correlation based on leader-follower system. IEEE Transactions on Automation Science and Engineering, 2025, 22: 15070-15082.

[3] Zhongchao Liang, et al. Distributed fixed-time control for leader-steered rigid shape formation with prescribed performance. IEEE Transactions on Cybernetics, 2024, 54(10): 5708-5720.

[4] Zhongchao Liang, et al. Model-free output feedback path following control for autonomous vehicle with prescribed performance independent of initial conditions. IEEE/ASME Transactions on Mechatronics, 2024, 29(2): 1076-1087.

[5] Zhongchao Liang, et al. Adaptive sliding mode fault tolerant control for autonomous vehicle with unknown actuator parameters and saturated tire force based on the center of percussion. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(11): 11595-11606.

[6] Zhongchao Liang, et al. Fixed-time prescribed performance path-following control for autonomous vehicle with complete unknown parameters. IEEE Transactions on Industrial Electronics, 2023, 70(8): 8426-8436.

[7] Zhongchao Liang, et al. Fixed-time and fault-tolerant path following control for autonomous vehicles with unknown parameters subject to prescribed performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 4(53): 2363-2373.

[8] Zhongchao Liang, et al. Fast finite-time path following control for autonomous vehicle via complete model-free approach, IEEE Transactions on Industrial Informatics, 2023, 19(3): 2836-2846.

[9] Zhongchao Liang, et al. Velocity-based path following control for autonomous vehicles to avoid exceeding road friction limits using sliding mode method, IEEE Transactions on Intelligent Transportation Systems, 2022, 22(3): 1947-1958.

[10] Zhongchao Liang, et al. Equivalent acceleration imitation for single wheel of manned lunar rover by varying torque on earth. IEEE/ASME Transactions on Mechatronics, 2020, 25(1): 282-293.

2. 指导研究生的代表性学术论文TOP-10（学生第一作者，本人通讯作者）

[1] Zijian Wang, Zhongchao Liang*, Zhixin Yang, Jing Zhao. Rigid-Formation control under intermittent vision sensing via IMU integration, IEEE Transactions on Industrial Electronics,  2026, early access, DOI: 10.1109/TIE.2026.3682361.

[2] Zijian Wang, Zhongchao Liang*. Vision-constrained formation control with integrated rigid-geometric structures for obstacle avoidance. IEEE Transactions on Industrial Informatics, 2026, 22(3): 1717-1728.

[3] Mingyu Shen, Zhongchao Liang*. Optimization on Riemannian Manifolds: A filter SQP framework with applications to IOT-related multirobot systems and network partitioning. IEEE Internet of Things Journal, 2026, 13(16): 5783-35794.

[4] Mingyu Shen, Qingyang Gao, Zhi-xin Yang, Jing Zhao, Xiaoxiang Liu, Zhongchao Liang*. Unified global formation path planning strategy for multi-agent systems using graph of convex sets. IEEE Robotics and Automation Letters, 2026, 11(11): 13367-13374.

[5] Mingyu Shen, Zhongchao Liang*. Predefined-time gradient flows for generalized time-varying optimization and application to WMR system. IEEE Transactions on Industrial Electronics, 2025, 72(7): 7180-7190.

[6] Mingyu Shen, Zhongchao Liang*. Vision-based output-feedback leader-follower rigid formation tracking control for multiple mobile robots. IEEE-ASME Transactions on Mechatronics, 2025, 30(6): 4678-4689.

[7] Zhongnan Wang, Zhongchao Liang*, Zhengtao Ding. Fixed-time approach for automated ground vehicles path following subject to prescribed error constraints and completely unknown steering dead zone. IEEE Transactions on Industrial Informatics, 2025, 21(1): 238-247.

[8] Zhongnan Wang, Zhongchao Liang*, Zhengtao Ding. Fixed-time vehicle following control with error constraints in curvilinear coordinates via estimation of the preceding vehicle's historical path curvature. Control Engineering Practice, 2026, 168: 106721.

[9] Zhongnan Wang, Zhongchao Liang*. Fixed-time path following control for automated ground vehicle subject to prescribed performance and lateral tire force constraint. ISA Transactions, 2025, 163: 280-291.

[10] Zhongnan Wang, Zhongchao Liang*, Zhengtao Ding. Observer-based prescribed performance path-following control for autonomous ground vehicles via error shifting method. Nonlinear Dynamics, 112(12): 10061-10080.

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